
Data Engineer
At TE Connectivity, we are looking for a Data Engineer to join our team. Our ideal candidate will be an analytical thinker with a passion for data and an ability to work with complex data models. The successful candidate will be responsible for developing, maintaining, and optimizing data architecture and processes. They should have a strong understanding of data management principles and be able to design and implement efficient data solutions.To be successful in this role, the applicant should have a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. They should also have at least two years of experience in data engineering, database design, business intelligence, or a related field. Knowledge of ETL tools, data warehouses, and big data technologies is essential, as is the ability to analyze complex data sets. The successful candidate should have the ability to work collaboratively with other departments and be comfortable taking the initiative to solve problems. Proficiency in SQL and Python is a must, and experience with Apache Spark and other big data technologies is a plus. If you are detail-oriented, have a passion for data, and have the required qualifications to excel in this role, we would love to hear from you.
Responsibilities:
- Develop, maintain, and optimize data architecture and processes.
- Design and implement efficient data solutions.
- Analyze complex data sets.
- Work collaboratively with other departments to solve problems.
- Use ETL tools, data warehouses, and big data technologies.
- Utilize SQL and Python to query and analyze data.
- Utilize Apache Spark and other big data technologies.
- Monitor and ensure data accuracy and integrity.
- Monitor and analyze trends in data over time.
- Stay up to date with the latest advancements in data engineering.
Excellent Problem-Solving And Troubleshooting Skills
Azure
Strong Knowledge Of Database Design Principles
Proficiency In Sql And Related Query Languages
Experience With Data Warehousing And Data Analysis Tools
Knowledge Of Data Modeling And Etl Techniques
Familiarity With Big Data Architectures
Experience With Cloud Computing Platforms (E.g. Aws
Google Cloud)
Excellent Written And Verbal Communication Skills.
Sql
Python
Data Quality
Data Security
Data Modeling
ETL
Azure
Machine Learning
Hadoop
AWS
Redshift
Data warehousing
Data Visualization
Spark
Data governance
Communication
Leadership
Time management
Interpersonal Skills
creativity
Organization
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer in Makati, Metro Manila, Philippines is between PHP 70,000 and PHP 175,000 per month. This range is based on the salaries reported by data engineers in the area.
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TE Connectivity is a Swiss-domiciled technology company that designs and manufactures connectivity and sensor products for harsh environments in a variety of industries, such as automotive, industrial equipment, data communication systems, aerospace, defense, medical, oil and gas, consumer electronics and energy.

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